Lingfei Ma

Orcid: 0000-0001-8893-9693

According to our database1, Lingfei Ma authored at least 65 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Crack-U<sup>2</sup>Net: Multiscale Feature Learning Network for Pavement Crack Detection From Large-Scale MLS Point Clouds.
IEEE Trans. Intell. Transp. Syst., November, 2024

RdmkNet & Toronto-RDMK: Large-Scale Datasets for Road Marking Classification and Segmentation.
IEEE Trans. Intell. Transp. Syst., October, 2024

Remote-Oriented Brain-Controlled Unmanned Aerial Vehicle for IoT.
IEEE Internet Things J., September, 2024

HigherNet-DST: Higher-Resolution Network With Dynamic Scale Training for Rooftop Delineation.
IEEE Trans. Geosci. Remote. Sens., 2024

A Survey of Point Cloud Completion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

High autistic traits linked with reduced performance on affective task switching: An ERP study.
NeuroImage, 2024

Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System.
CoRR, 2024

A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Status, advancements and prospects of deep learning methods applied in forest studies.
Int. J. Appl. Earth Obs. Geoinformation, 2024

DAAL-WS: A weakly-supervised method integrated with data augmentation and active learning strategies for MLS point cloud semantic segmentation.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Weakly Supervised Point Cloud Segmentation by Combining Active Learning Annotation and Multi-Consistency Mechanism.
Proceedings of the IGARSS 2024, 2024

Multi-Granularity Feature Fusion For Point Cloud Semantic Segmentation Under Urban Scenes.
Proceedings of the IGARSS 2024, 2024

2023
Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

A systematic mapping study for graphical user interface testing on mobile apps.
IET Softw., June, 2023

SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for pavement crack detection from mobile LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023

A comparative study of loss functions for road segmentation in remotely sensed road datasets.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

An Overlap-Free Calibration Method for LiDAR-Camera Platforms Based on Environmental Perception.
IEEE Trans. Instrum. Meas., 2023

TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer.
IEEE Trans. Instrum. Meas., 2023

Graph Representation Learning for Infrared and Visible Image Fusion.
CoRR, 2023

Nighttime Light Missing Data Retrieval Using Modis Version 6 Satellite Data and Mask Dilated Partial Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Cross-Modal feature description for remote sensing image matching.
Int. J. Appl. Earth Obs. Geoinformation, August, 2022

3D Vehicle Detection Using Multi-Level Fusion From Point Clouds and Images.
IEEE Trans. Intell. Transp. Syst., 2022

Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road.
IEEE Trans. Intell. Transp. Syst., 2022

BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.
IEEE Trans. Intell. Transp. Syst., 2022

Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.
IEEE Trans. Geosci. Remote. Sens., 2022

STN: Saliency-Guided Transformer Network for Point-Wise Semantic Segmentation of Urban Scenes.
IEEE Geosci. Remote. Sens. Lett., 2022

WaterHRNet: A multibranch hierarchical attentive network for water body extraction with remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Pavement crack detection from CCD images with a locally enhanced transformer network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Line-based deep learning method for tree branch detection from digital images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Mask R-CNN based automated identification and extraction of oil well sites.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset.
IEEE Access, 2022

An Empirical Study of the Impact of COVID-19 on OSS Development.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Decoupling Consensus and Storage in Consortium Blockchains by Erasure Codes.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

2021
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.
IEEE Trans. Intell. Transp. Syst., 2021

Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2021

Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China.
ISPRS Int. J. Geo Inf., 2021

Machine learning and SLIC for Tree Canopies segmentation in urban areas.
Ecol. Informatics, 2021

Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Semantic Segmentation of UAV Lidar Point Clouds of a Stack Interchange with Deep Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data.
IEEE Trans. Intell. Transp. Syst., 2020

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2020

A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements.
Remote. Sens., 2020

A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data.
IEEE Geosci. Remote. Sens. Lett., 2020

A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery.
CoRR, 2020

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks.
CoRR, 2020

Early-Season Crop Classification with Radarsat-2 Polarimetric Synthetic Aperture Radar Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Rapid Urban Roadside Tree Inventory Using a Mobile Laser Scanning System.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018
Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.
Remote. Sens., 2018

Extraction of Building Windows from Mobile Laser Scanning Point Clouds.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Segment-Based Traffic Sign Detection from Mobile Laser Scanning Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Deep residual networks for hyperspectral image classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Examining urban expansion using multi-temporal landsat imagery: A case study of montreal census metropolitan area.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2009
Multi-objective Optimization on Pore Segmentation.
Proceedings of the Fifth International Conference on Natural Computation, 2009


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